Beyond a bunch of reviews: The quality and quantity of electronic word-of-mouth

Shiu Wan Hung; Che Wei Chang; Ssu Yu Chen

doi:10.1016/j.im.2023.103777

Beyond a bunch of reviews: The quality and quantity of electronic word-of-mouth

Shiu Wan Hung, Che Wei Chang, Ssu Yu Chen

企業管理學系

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

15 引文斯高帕斯（Scopus）

摘要

This work proposed an integrated model incorporating review quality and quantity to explore the extent to which consumers adopt electronic word-of-mouth (e-WOM) information. A linear structural equation model was employed to analyze 435 valid responses and test it against the hypotheses. The empirical results suggest that in terms of e-WOM the influence of review quantity outweighs that of the review quality. Review consistency negatively correlates with informational influence. Consumers are alert to highly consistent reviews and may easily doubt ones that contain similar content. Furthermore, the relationship between perceived persuasiveness and social influence will not be inhibited by confirmation bias.

原文	???core.languages.en_GB???
文章編號	103777
期刊	Information and Management
卷	60
發行號	3
DOIs	https://doi.org/10.1016/j.im.2023.103777
出版狀態	已出版 - 4月 2023

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10.1016/j.im.2023.103777

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abstract = "This work proposed an integrated model incorporating review quality and quantity to explore the extent to which consumers adopt electronic word-of-mouth (e-WOM) information. A linear structural equation model was employed to analyze 435 valid responses and test it against the hypotheses. The empirical results suggest that in terms of e-WOM the influence of review quantity outweighs that of the review quality. Review consistency negatively correlates with informational influence. Consumers are alert to highly consistent reviews and may easily doubt ones that contain similar content. Furthermore, the relationship between perceived persuasiveness and social influence will not be inhibited by confirmation bias.",

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AB - This work proposed an integrated model incorporating review quality and quantity to explore the extent to which consumers adopt electronic word-of-mouth (e-WOM) information. A linear structural equation model was employed to analyze 435 valid responses and test it against the hypotheses. The empirical results suggest that in terms of e-WOM the influence of review quantity outweighs that of the review quality. Review consistency negatively correlates with informational influence. Consumers are alert to highly consistent reviews and may easily doubt ones that contain similar content. Furthermore, the relationship between perceived persuasiveness and social influence will not be inhibited by confirmation bias.

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Beyond a bunch of reviews: The quality and quantity of electronic word-of-mouth

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